Abstract

In the big data era, robust solutions are obliged to be proposed to integrate and represent data from different formats and with different contents to assist the decision-making. Current cartographic and geographic information systems have limited capabilities for solving these problems. This paper describes an automatic and comprehensive system that conducts data fusion from all potentially related sources. In this system, a new Semantic Location Model (SemLM) is established to present the semantic concepts and location feature and demonstrate how locations are interrelated. In the SemLM, various types of location descriptors in different application scenarios can be analyzed and understood. Additionally, considering the challenges involved in data-intensive computation and visualization, this paper implements a Place-based Pan-Information System (P2S) as an innovative 4D system that dynamically associates and visualizes place-based information, using public security as the case study.

Details

Title
Development and implementation of a dynamic and 4D GIS based on semantic location model
Author
Zhu, Xinyan 1   VIAFID ORCID Logo  ; Hu, Tao 2   VIAFID ORCID Logo  ; Ye, Xinyue 3 ; Guo, Wei 1 ; Huang, Liang 4   VIAFID ORCID Logo  ; Xiong, Hanjiang 1 ; Ai, Haojun 5 ; She, Bing 6   VIAFID ORCID Logo  ; Xiong, Qing 5   VIAFID ORCID Logo  ; Duan, Lian 7   VIAFID ORCID Logo 

1  State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China 
2  State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; Center for Geographic Analysis, Harvard University, Cambridge, MA, USA 
3  Department of Informatics, New Jersey Institute of Technology, Newark, NJ, USA 
4  Intelligent Transportation System Research Center, Wuhan University of Technology, Wuhan, China 
5  State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China 
6  University of Michigan, Ann Arbor, USA 
7  Geography Science and Planning School, Guangxi Normal University, Nanning, China; Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Guangxi Teachers Education University, Nanning, China 
Pages
193-213
Publication year
2019
Publication date
Sep 2019
Publisher
Taylor & Francis Ltd.
ISSN
10095020
e-ISSN
19935153
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1080/10095020.2019.1649192
ProQuest document ID
2472285246
Copyright
© 2019 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.